The Australian government’s Digital Transformation Agency has published its AI Reference Architecture, which it describes as guidance for government agencies when designing, procuring, and governing AI systems.
AIRA helps agencies assess the long-term implications of decisions involving data, models, integrations, vendors, and human oversight, particularly around privacy, accountability, fairness, safety and interoperability.
According to the DTA, the architecture makes potential negative trade-offs more visible before technology commitments are even made.
“Artificial intelligence presents enormous opportunities to improve services and outcomes for Australians,” Lucy Poole – Deputy CEO, Digital Strategy, Planning and Performance – said in a statement.
“But agencies need practical tools to make informed decisions about how these technologies are adopted and governed. The challenge for agencies is designing systems that meet their needs while the technology keeps evolving.”
The AIRA is built on four architectural constructs: a functional stack covering the five technical layers of AI systems (experience, application and orchestration, intelligence and analytics, data and metadata, and platform and infrastructure); a communication layer governing secure interactions between components, agencies, and external partners; and trustworthiness and assurance domains covering observability, traceability, explainability, reliability, safety, fairness, security, resilience and privacy.
Finally, human agency, oversight, and control underpin the entire architecture, ensuring meaningful human intervention and oversight throughout an AI system’s lifecycle.
“Systems should be designed to reflect how people actually interact with automation. This includes managing risks such as over-reliance on AI, reduced attention during prolonged monitoring and the gradual loss of human expertise,” Poole added.
Kishore Jayaram, Chief Transformation Officer at Kinetic IT, said the DTA is finally giving government agencies an essential piece of previously missing guidance: “One shared picture of where safeguards belong and who is accountable for them.”
“Building those controls in from the start, rather than checking for problems after go-live, is the right call,” he told Cyber Daily.
"Most agencies won't build AI from a blank page. They'll switch it on inside platforms they already use, or buy it as a service and connect it to the identity, case management, contact centre, and records systems people rely on every day. Each of those connections brings a different vendor, a different contract, and a different set of controls. The architecture only works if all of that is governed as one service, not managed as a collection of products.
"That's where policy meets operations. Kinetic IT's Sovereign Technology Report found 60 per cent of public sector agencies had made agentic AI an investment priority, yet just two per cent believed they had the governance, data maturity, and assurance to deploy it safely. Closing that gap is integration and assurance work: knowing what each system does, who controls it, and being able to prove it every day.
“We welcome the architecture, and we expect suppliers to be held to it."
Want to see more stories from trusted news sources?Make Cyber Daily a preferred news source on Google.
